How advances in neural recording affect data analysis

ABSTRACT Over the last five decades, progress in neural recording techniques has allowed the number of simultaneously recorded neurons to double approximately every 7 years, mimicking

Moore's law. Such exponential growth motivates us to ask how data analysis techniques are affected by progressively larger numbers of recorded neurons. Traditionally, neurons are

analyzed independently on the basis of their tuning to stimuli or movement. Although tuning curve approaches are unaffected by growing numbers of simultaneously recorded neurons, newly

developed techniques that analyze interactions between neurons become more accurate and more complex as the number of recorded neurons increases. Emerging data analysis techniques should

consider both the computational costs and the potential for more accurate models associated with this exponential growth of the number of recorded neurons. Access through your institution

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the Kohn laboratory for providing data from visual cortex (US National Institutes of Health EY016774) and N. Hatsopoulos and J. Reimer for providing data from motor cortex. All animal use

procedures were approved by the institutional animal care and use committees at Albert Einstein College of Medicine and the University of Chicago, respectively. Thanks to B. Yu and J.

Cunningham for providing the GPFA code and B. Yu for insightful discussions. This work was supported by the Chicago Community Trust and US National Institutes of Health grants 1R01NS063399

and 2P01NS044393. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Physical Medicine and Rehabilitation, Northwestern University and Rehabilitation Institute of Chicago, Chicago,

Illinois, USA Ian H Stevenson & Konrad P Kording * Department of Physiology, Northwestern University, Chicago, Illinois, USA Konrad P Kording * Department of Applied Mathematics,

Northwestern University, Chicago, Illinois, USA Konrad P Kording Authors * Ian H Stevenson View author publications You can also search for this author inPubMed Google Scholar * Konrad P

Kording View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Ian H Stevenson. ETHICS DECLARATIONS COMPETING INTERESTS

The authors declare no competing financial interests. SUPPLEMENTARY INFORMATION SUPPLEMENTARY TEXT AND FIGURES Supplementary Table 1 and Supplementary Methods (PDF 279 kb) RIGHTS AND

PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Stevenson, I., Kording, K. How advances in neural recording affect data analysis. _Nat Neurosci_ 14, 139–142 (2011).

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